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Monolingual Marginal Matching for Translation Model Adaptation
Ann Irvine
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Chris Quirk
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Hal Daumé III
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation
Qing Dou
|
Ashish Vaswani
|
Kevin Knight
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Improving Statistical Machine Translation with a Multilingual Paraphrase Database
Ramtin Mehdizadeh Seraj
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Maryam Siahbani
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Anoop Sarkar
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Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data
Boxing Chen
|
Fei Huang
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Paraphrasing Out-of-Vocabulary Words with Word Embeddings and Semantic Lexicons for Low Resource Statistical Machine Translation
Chenhui Chu
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Sadao Kurohashi
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Unifying Bayesian Inference and Vector Space Models for Improved Decipherment
Qing Dou
|
Ashish Vaswani
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Kevin Knight
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Chris Dyer
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Using Comparable Corpora to Adapt MT Models to New Domains
Ann Irvine
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Chris Callison-Burch
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Improving Statistical Machine Translation Accuracy Using Bilingual Lexicon Extractionwith Paraphrases
Chenhui Chu
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Toshiaki Nakazawa
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Sadao Kurohashi
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http://www.parl.gc.ca
http://hal3.name/damt/
Field Of Study
Task
Machine Translation
Language
English
French
Dataset
News
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